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Tackling the Data Ownership Challenge
Tony GoslingDirector, Data, Analytics & [email protected]
February 2017
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If nobody owns data problems, nobody will fix them
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There are different definitions for Data Owner and Data Steward – this is what we use in the DIO
Defence Infrastructure Organisation
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Becoming a Data Owners or Data Steward is an accountabilityfor the management of a subset of enterprise data.
– IDENTIFY & ENGAGE Data Stewards and Owners
– A Data Owner has to be of a certain seniority
– A Data Steward can be absolutely anybody– Being a Data Steward describes a relationship to data
and is NOT a position
– Data Stewards are NOT hired. They are appointed based on their present activities and responsibilities.
– DO NOT give employees new job titles
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Data governance is a process, managed by the Data Governance team, delivered with Owners & Stewards
Defence Infrastructure Organisation
AttributeSelected
OwnershipAssigned
Definition &Gap Analysis
DQExecution
DataCleansing
ProcessChange
MISDelivery
InceptionInception InitiationInitiation CommitmentCommitment
ContinuousImprovementContinuousImprovement
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Challenges in getting Data Ownership to work
Defence Infrastructure Organisation
Challenge What we do
Multiple functions could own the data • Who cares?• Who “gets” data?
Lot’s of data, where do you start? • What’s hurting the business the most?
• One bite at a timeHow do you help the Data Owners and Data Stewards succeed
• Training, Working Group• Good central, Data Governance
team to work with• Profile data - measure Data
Quality• Use league tables
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The DIO Strategic Problem in a photo - Help for Heroes?
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In the Defence Infrastructure Organisation, getting data really owned has been absolutely vital
Defence Infrastructure Organisation
Data Situation in 2014 NowAsset Data;Land and buildings, location, type, condition
• Data standard set and asset verification completed
• Changes managed by filling a form
• Data “owned” by central admin team
• Service Delivery Director owns asset KPIs
• Site Delivery Managers own the data for their buildings
• All site managers trained • Data quality measured
Capital Projects; Planned vs actual vs forecasts for schedule, cost and quality
• 4 spreadsheets in 4 functions
• 4 different answers (all wrong)
• Project data in systems poor and not used
• Owned by Project Delivery • KPIs owned by Project Delivery
Director• Project Data Quality measured• Data Quality in PM’s objectives• Single Business Intelligence
People Data; vacancies, mandatory training
• Finance and HR had very different vacancy numbers
• Mandatory Training recording <10%
• HR own overall data• Finance check posts funded• Each business area accountable
–league tables• Mandatory Training >90%
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• Estate data has become a strategic issue, £8.5bn funding gap recognised
• Asset data made case for Better Defence Estate, £4bn of investment, 90 sites being released
• Delivering building projects more effectively using better project data
Defence Infrastructure Organisation
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We have come a long way over the last two years, but we still have a long way to go